Home Technical • Advances in Dynamic Games: Applications to Economics, by Alain Haurie, Shigeo Muto, Leon A. Petrosjan, T. E. S. PDF

Advances in Dynamic Games: Applications to Economics, by Alain Haurie, Shigeo Muto, Leon A. Petrosjan, T. E. S. PDF

By Alain Haurie, Shigeo Muto, Leon A. Petrosjan, T. E. S. Raghavan

ISBN-10: 0817645004

ISBN-13: 9780817645007

ISBN-10: 0817645012

ISBN-13: 9780817645014

This e-book, an outgrowth of the tenth overseas Symposium on Dynamic video games, provides present advancements of the idea of dynamic video games and its purposes. The textual content makes use of dynamic online game types to process and clear up difficulties relating pursuit-evasion, advertising, finance, weather and environmental economics, source exploitation, in addition to auditing and tax evasions. It contains chapters on cooperative video games, that are more and more drawing dynamic ways to their classical solutions.

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Extra resources for Advances in Dynamic Games: Applications to Economics, Management Science, Engineering, and Environmental Management (Annals of the International Society of Dynamic Games)

Example text

The set M is taken as the set A shown in Figure 5. The payoff function depends on full a three-dimensional phase vector and, evidently, possesses the level sweeping property. As the set Q constraining the control of the second player, let us take the interval shown in Figure 5 and denoted there by C. Because the right-hand side of the game dynamics does not depend on time and does not contain the phase variable, then for any t and any c the section Wc (t) of the level set of the value function is defined by the formula Wc (t) = ∗ (T − t)Q.

The second property: B + x ⊂ A. Let us take an arbitrary element b ∈ B. Due to the convergence Bk → B, one can take a sequence {bk }, bk ∈ Bk , such that bk → b. Since Bk + xk ⊂ Ak , it implies bk + xk ∈ Ak . Therefore, ∀k ∃ ak ∈ Ak : bk + xk = ak . Because bk → b and xk → x, then ak tends to an element a ¯ = b+x. Taking into account the convergence Ak → A, one can obtain that a ¯ ∈ A. This shows that ∀ b ∈ B b + x ∈ A. Consequently, B + x ⊂ A. Hence, the set B completely sweeps the set A. 2) Now let Wc1 (t∗ ) = ∅, but int Wc1 (t¯) = ∅ at an instant t¯ ∈ [t∗ , T ].

Xs , xf ) by an equivalent minimization in s-tuples (xi )i∈1,s . So, (3) is the problem of joint minimization in all possible routes r(s) of all possible sizes s m, and in all possible s-tuples (xi )i∈1,s corresponding to these routes. Problem (3) is a mixture of both discrete and continuous optimization problems, and its decomposition into a discrete (combinatorial) subproblem (to choose r(s)) and a continuous one (to choose x1 , . . , xs ) is impossible because the solutions to these subproblems depend on one another (r(s) and (xi )i∈1,s are the bound variables: (xi )i∈1,s = (xi )i∈1,s (r(s))).

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Advances in Dynamic Games: Applications to Economics, Management Science, Engineering, and Environmental Management (Annals of the International Society of Dynamic Games) by Alain Haurie, Shigeo Muto, Leon A. Petrosjan, T. E. S. Raghavan


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